Published 1995 | Version v1
Miscellaneous Open

The statistical basis of neural network algorithms: theory, applications, and caveats

Creators

  • 1. Northeastern Univ., Boston, MA (United States)

Description

Short communication

Files

28050970.pdf

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Part of:
CHEP95: Computing in high energy physics. Abstracts

Additional details

Publishing Information

Imprint Title
CHEP95: Computing in high energy physics. Abstracts
Imprint Pagination
87 p.
Journal Page Range
p. 16.
Report number
INIS-BR--3611

Conference

Title
Computing in high energy physics.
Acronym
CHEP95
Dates
18-22 Sep 1995.
Place
Rio de Janeiro, RJ (Brazil).

INIS

Country of Publication
Brazil
Country of Input or Organization
Brazil
INIS RN
28050970
Subject category
S99: GENERAL AND MISCELLANEOUS; S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Resource subtype / Literary indicator
Conference, No Abstract
Descriptors DEI
ALGORITHMS; NEURAL NETWORKS; PARTICLE IDENTIFICATION; STATISTICS
Descriptors DEC
MATHEMATICS

Optional Information